Intelligent Real-Time Control Systems to Predict the Particle Size of Minerals Using Acoustics of Ball Mill
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Beschreibung
This book offers a single-resource reference on different analysis strategies of the ball mill acoustics. One of the major problems in the mining industry is the raw material wastage. The biggest challenge faced by the researchers is to install sensors to acquire meaningful data during the crushing operation due to huge dust and the presence of grinding media. The book aims to propose an intelligent system to predict the particle size distribution of the raw material in the closed-loop mill operation and stop the mill automatically by receiving the desired particle size ranges. The simulated results are validated with the experimental results, obtained from an instrumented lab-based ball mill. The acoustics of the running ball mill is considered as the key parameter which is a state of art in this field. This book will be useful for Researchers who work in the field of Digital signal processing.
This book offers a single-resource reference on different analysis strategies of the ball mill acoustics. One of the major problems in the mining industry is the raw material wastage. The biggest challenge faced by the researchers is to install sensors to acquire meaningful data during the crushing operation due to huge dust and the presence of grinding media. The book aims to propose an intelligent system to predict the particle size distribution of the raw material in the closed-loop mill operation and stop the mill automatically by receiving the desired particle size ranges. The simulated results are validated with the experimental results, obtained from an instrumented lab-based ball mill. The acoustics of the running ball mill is considered as the key parameter which is a state of art in this field. This book will be useful for Researchers who work in the field of Digital signal processing.
Pioneers the integration of acoustic signatures and intelligent systems for real-time particle size prediction Bridges the gap between theoretical understanding and actionable solutions Covers source code for development of real-time IDS that can be used by industry practitioners or academic researcher
Autor*in
Jaya Sil
Themen in »Intelligent Real-Time Control Systems to Predict the Particle Size of Minerals Using Acoustics of Ball Mill«
Digital Signal Processing Tumbling Mill Particle Size Optimization Machine Learning Mineral Processing